Rosalie Lipsh-Sokolik
Molecular Biology · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 30 citations into it
Whom Rosalie Lipsh-Sokolik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rosalie Lipsh-Sokolik's perspective
Ordered by how strongly the researchers Rosalie Lipsh-Sokolik trusts endorse each paper. Same corpus, a different order for every researcher.
- Kemp elimination catalysts by computational enzyme design
- Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
- Highly accurate protein structure prediction with AlphaFold
- The Rosetta all-atom energy function for macromolecular modeling and design
- RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
- Simultaneous optimization of biomolecular energy function on features from small molecules and macromolecules
- Principles for computational design of binding antibodies
- Computational design of self-assembling protein nanomaterials with atomic level accuracy
- Massively parallel de novo protein design for targeted therapeutics
- ColabFold: making protein folding accessible to all
Their papers
- Assessing and enhancing foldability in designed proteins (2021) — 17 citations